How to Use the Gong MCP in Google ADK

Q: How do I configure tool filtering for the Gong MCP Server in Google ADK?

Pass a list of allowed tool names to the McpToolset constructor. This lets you restrict your Google ADK agent to safe tools like listlibrarycalls while blocking access to sensitive user data.

Feed hours of Gong transcripts directly into Google ADK agents to run deep Gemini-powered analysis alongside your BigQuery data.

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Connect Gong MCP to Google ADK

Create your Vinkius account to connect Gong to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Gong with Google ADK

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Analyze Long-Context Gong Transcripts in Google ADK

Gemini's million-token window means your Google ADK agent can ingest dozens of raw sales logs at once. Use `get_transcript` to pull full-length conversations and feed them directly into your agent without worrying about context limits or truncated text. This setup lets the agent map patterns across hours of dialogue, checking specific customer objections against the deal outcomes retrieved by `list_deals`. You get deep, cross-call analysis that smaller models simply cannot replicate.

Combine BigQuery Records with Live Gong Data

Connect your Google ADK agent to your enterprise data warehouse while pulling real-time interaction metrics. The agent can query `get_user_stats` to fetch a rep's recent call volumes and merge it with historical performance records stored in BigQuery. This direct pipeline lets you build custom coaching dashboards that update automatically. Your agent can run complex reasoning loops, comparing cold outreach success rates against actual scorecard trends pulled from `list_scorecards`.

Filter and Restrict Exposed MCP Server Tools

You do not always want your agent accessing every single sales metric. This MCP Server integration lets you use the Google ADK `tool_names` filter to expose only specific tools, such as `list_library_calls` or `check_gong_status`. Restricting access keeps your agent focused on specific tasks and prevents it from accidentally querying sensitive user profiles through `get_user`. It is a simple way to enforce strict data governance in enterprise environments.

Setup guide

Set up Gong MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Gong tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Gong_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Gong tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Gong. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Gong MCP in Google ADK

Pass a list of allowed tool names to the `McpToolset` constructor. This lets you restrict your Google ADK agent to safe tools like `list_library_calls` while blocking access to sensitive user data.

Yes. Because the framework integrates natively with Google Cloud, your agent can query `list_deals` via the MCP toolset and immediately join that data with your existing BigQuery tables in a single reasoning step.

It allows your agent to ingest massive amounts of raw conversation data. You can call `get_transcript` on multiple long calls and feed them into the agent simultaneously, enabling deep comparative analysis that other setups cannot handle.

Yes. While Vinkius manages the server as an HTTP endpoint, the underlying toolset adapter translates the communication seamlessly, allowing your pipeline to run over streamable HTTP.

Your sales records and scorecard data are never stored by Vinkius. The MCP Server operates as a zero-trust, ephemeral gateway, transmitting data directly between the target API and your Google Cloud environment over encrypted channels.

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